<template>
  <div id="main" style="width: 100%;height: 100%">

  </div>
</template>

<script>
import * as echarts from 'echarts';
import "../../../assets/js/map";

export default {
  name: "Main",
  data() {
    return {
      cityData: []
    }
  },
  methods: {
    async getCityData() {
      const {data: res} = await this.$http.get('/AEC/cityData')
      this.cityData = res.content
      let chartDom = document.getElementById('main');
      let myChart = echarts.init(chartDom);
      let option;

      let data = this.cityData;

      let geoCoordMap = {
        '山东': [121.5333553125, 31.62770589829645],
        '鄂尔多斯': [109.781327, 39.608266],
        '招远': [120.38, 37.35],
        '舟山': [122.207216, 29.985295],
        '齐齐哈尔': [123.97, 47.33],
        '盐城': [120.13, 33.38],
        '赤峰': [118.87, 42.28],
        '青岛': [120.33, 36.07],
        '乳山': [121.52, 36.89],
        '金昌': [102.188043, 38.520089],
        '泉州': [118.58, 24.93],
        '莱西': [120.53, 36.86],
        '日照': [119.46, 35.42],
        '胶南': [119.97, 35.88],
        '南通': [121.05, 32.08],
        '拉萨': [91.11, 29.97],
        '云浮': [112.02, 22.93],
        '梅州': [116.1, 24.55],
        '文登': [122.05, 37.2],
        '上海': [121.48, 31.22],
        '攀枝花': [101.718637, 26.582347],
        '威海': [122.1, 37.5],
        '承德': [117.93, 40.97],
        '厦门': [118.1, 24.46],
        '汕尾': [115.375279, 22.786211],
        '潮州': [116.63, 23.68],
        '丹东': [124.37, 40.13],
        '太仓': [121.1, 31.45],
        '曲靖': [103.79, 25.51],
        '烟台': [121.39, 37.52],
        '福州': [119.3, 26.08],
        '瓦房店': [121.979603, 39.627114],
        '即墨': [120.45, 36.38],
        '抚顺': [123.97, 41.97],
        '玉溪': [102.52, 24.35],
        '张家口': [114.87, 40.82],
        '阳泉': [113.57, 37.85],
        '莱州': [119.942327, 37.177017],
        '湖州': [120.1, 30.86],
        '汕头': [116.69, 23.39],
        '昆山': [120.95, 31.39],
        '宁波': [121.56, 29.86],
        '湛江': [110.359377, 21.270708],
        '揭阳': [116.35, 23.55],
        '荣成': [122.41, 37.16],
        '连云港': [119.16, 34.59],
        '葫芦岛': [120.836932, 40.711052],
        '常熟': [120.74, 31.64],
        '东莞': [113.75, 23.04],
        '河源': [114.68, 23.73],
        '淮安': [119.15, 33.5],
        '泰州': [119.9, 32.49],
        '南宁': [108.33, 22.84],
        '营口': [122.18, 40.65],
        '惠州': [114.4, 23.09],
        '江阴': [120.26, 31.91],
        '蓬莱': [120.75, 37.8],
        '韶关': [113.62, 24.84],
        '嘉峪关': [98.289152, 39.77313],
        '广州': [113.23, 23.16],
        '延安': [109.47, 36.6],
        '太原': [112.53, 37.87],
        '清远': [113.01, 23.7],
        '中山': [113.38, 22.52],
        '昆明': [102.73, 25.04],
        '寿光': [118.73, 36.86],
        '盘锦': [122.070714, 41.119997],
        '长治': [113.08, 36.18],
        '深圳': [114.07, 22.62],
        '珠海': [113.52, 22.3],
        '宿迁': [118.3, 33.96],
        '咸阳': [108.72, 34.36],
        '铜川': [109.11, 35.09],
        '平度': [119.97, 36.77],
        '佛山': [113.11, 23.05],
        '海口': [110.35, 20.02],
        '江门': [113.06, 22.61],
        '章丘': [117.53, 36.72],
        '肇庆': [112.44, 23.05],
        '大连': [121.62, 38.92],
        '临汾': [111.5, 36.08],
        '吴江': [120.63, 31.16],
        '石嘴山': [106.39, 39.04],
        '沈阳': [123.38, 41.8],
        '苏州': [120.62, 31.32],
        '茂名': [110.88, 21.68],
        '嘉兴': [120.76, 30.77],
        '长春': [125.35, 43.88],
        '胶州': [120.03336, 36.264622],
        '银川': [106.27, 38.47],
        '张家港': [120.555821, 31.875428],
        '三门峡': [111.19, 34.76],
        '锦州': [121.15, 41.13],
        '南昌': [115.89, 28.68],
        '柳州': [109.4, 24.33],
        '三亚': [109.511909, 18.252847],
        '自贡': [104.778442, 29.33903],
        '吉林': [126.57, 43.87],
        '阳江': [111.95, 21.85],
        '泸州': [105.39, 28.91],
        '西宁': [101.74, 36.56],
        '宜宾': [104.56, 29.77],
        '呼和浩特': [111.65, 40.82],
        '成都': [104.06, 30.67],
        '大同': [113.3, 40.12],
        '镇江': [119.44, 32.2],
        '桂林': [110.28, 25.29],
        '张家界': [110.479191, 29.117096],
        '宜兴': [119.82, 31.36],
        '北海': [109.12, 21.49],
        '西安': [108.95, 34.27],
        '金坛': [119.56, 31.74],
        '东营': [118.49, 37.46],
        '牡丹江': [129.58, 44.6],
        '遵义': [106.9, 27.7],
        '绍兴': [120.58, 30.01],
        '扬州': [119.42, 32.39],
        '常州': [119.95, 31.79],
        '潍坊': [119.1, 36.62],
        '重庆': [106.54, 29.59],
        '台州': [121.420757, 28.656386],
        '南京': [118.78, 32.04],
        '滨州': [118.03, 37.36],
        '贵阳': [106.71, 26.57],
        '无锡': [120.29, 31.59],
        '本溪': [123.73, 41.3],
        '克拉玛依': [84.77, 45.59],
        '渭南': [109.5, 34.52],
        '马鞍山': [118.48, 31.56],
        '宝鸡': [107.15, 34.38],
        '焦作': [113.21, 35.24],
        '句容': [119.16, 31.95],
        '北京': [116.46, 39.92],
        '徐州': [117.2, 34.26],
        '衡水': [115.72, 37.72],
        '包头': [110, 40.58],
        '绵阳': [104.73, 31.48],
        '乌鲁木齐': [87.68, 43.77],
        '枣庄': [117.57, 34.86],
        '杭州': [120.19, 30.26],
        '淄博': [118.05, 36.78],
        '鞍山': [122.85, 41.12],
        '溧阳': [119.48, 31.43],
        '库尔勒': [86.06, 41.68],
        '安阳': [114.35, 36.1],
        '开封': [114.35, 34.79],
        '济南': [117, 36.65],
        '德阳': [104.37, 31.13],
        '温州': [120.65, 28.01],
        '九江': [115.97, 29.71],
        '邯郸': [114.47, 36.6],
        '临安': [119.72, 30.23],
        '兰州': [103.73, 36.03],
        '沧州': [116.83, 38.33],
        '临沂': [118.35, 35.05],
        '南充': [106.110698, 30.837793],
        '天津': [117.2, 39.13],
        '富阳': [119.95, 30.07],
        '泰安': [117.13, 36.18],
        '诸暨': [120.23, 29.71],
        '郑州': [113.65, 34.76],
        '哈尔滨': [126.63, 45.75],
        '聊城': [115.97, 36.45],
        '芜湖': [118.38, 31.33],
        '唐山': [118.02, 39.63],
        '平顶山': [113.29, 33.75],
        '邢台': [114.48, 37.05],
        '德州': [116.29, 37.45],
        '济宁': [116.59, 35.38],
        '荆州': [112.239741, 30.335165],
        '宜昌': [111.3, 30.7],
        '义乌': [120.06, 29.32],
        '丽水': [119.92, 28.45],
        '洛阳': [112.44, 34.7],
        '秦皇岛': [119.57, 39.95],
        '株洲': [113.16, 27.83],
        '石家庄': [114.48, 38.03],
        '莱芜': [117.67, 36.19],
        '常德': [111.69, 29.05],
        '保定': [115.48, 38.85],
        '湘潭': [112.91, 27.87],
        '金华': [119.64, 29.12],
        '岳阳': [113.09, 29.37],
        '长沙': [113, 28.21],
        '武汉': [114.31, 30.52],
      };

      let convertData = function (data) {
        let res = [];
        for (let i = 0; i < data.length; i++) {
          let geoCoord = geoCoordMap[data[i].name];
          if (geoCoord) {
            res.push({
              name: data[i].name,
              value: geoCoord.concat(data[i].value)
            });
          }
        }
        return res;
      };

      function renderItem(params, api) {
        let coords = [
          [116.7, 39.53],
          [103.73, 36.03],
          [112.91, 27.87],
          [120.65, 28.01],
          [119.57, 39.95]
        ];
        let points = [];
        for (let i = 0; i < coords.length; i++) {
          points.push(api.coord(coords[i]));
        }
        let color = api.visual();

        return {
          type: 'polygon',
          shape: {
            points: echarts.graphic.clipPointsByRect(points, {
              x: params.coordSys.x,
              y: params.coordSys.y,
              width: params.coordSys.width,
              height: params.coordSys.height
            })
          },
          style: api.style({
            fill: color,
            stroke: echarts.color.lift(color)
          })
        };
      }

      option = {
        backgroundColor: 'transparent',
        title: {
          text: '全国用户分布情况',
          sublink: 'http://masteryan.top/',
          left: 'center',
          textStyle: {
            color: '#fff'
          }
        },
        tooltip: {
          trigger: 'item'
        },
        bmap: {
          center: [104.114129, 37.550339],
          zoom: 5,
          roam: true,
          mapStyle: {
            styleJson: [
              {
                "featureType": "water",
                "elementType": "all",
                "stylers": {
                  "color": "#044161"
                }
              },
              {
                "featureType": "land",
                "elementType": "all",
                "stylers": {
                  "color": "#004981"
                }
              },
              {
                "featureType": "boundary",
                "elementType": "geometry",
                "stylers": {
                  "color": "#064f85"
                }
              },
              {
                "featureType": "railway",
                "elementType": "all",
                "stylers": {
                  "visibility": "off"
                }
              },
              {
                "featureType": "highway",
                "elementType": "geometry",
                "stylers": {
                  "color": "#004981"
                }
              },
              {
                "featureType": "highway",
                "elementType": "geometry.fill",
                "stylers": {
                  "color": "#005b96",
                  "lightness": 1
                }
              },
              {
                "featureType": "highway",
                "elementType": "labels",
                "stylers": {
                  "visibility": "off"
                }
              },
              {
                "featureType": "arterial",
                "elementType": "geometry",
                "stylers": {
                  "color": "#004981"
                }
              },
              {
                "featureType": "arterial",
                "elementType": "geometry.fill",
                "stylers": {
                  "color": "#00508b"
                }
              },
              {
                "featureType": "poi",
                "elementType": "all",
                "stylers": {
                  "visibility": "off"
                }
              },
              {
                "featureType": "green",
                "elementType": "all",
                "stylers": {
                  "color": "#056197",
                  "visibility": "off"
                }
              },
              {
                "featureType": "subway",
                "elementType": "all",
                "stylers": {
                  "visibility": "off"
                }
              },
              {
                "featureType": "manmade",
                "elementType": "all",
                "stylers": {
                  "visibility": "off"
                }
              },
              {
                "featureType": "local",
                "elementType": "all",
                "stylers": {
                  "visibility": "off"
                }
              },
              {
                "featureType": "arterial",
                "elementType": "labels",
                "stylers": {
                  "visibility": "off"
                }
              },
              {
                "featureType": "boundary",
                "elementType": "geometry.fill",
                "stylers": {
                  "color": "#029fd4"
                }
              },
              {
                "featureType": "building",
                "elementType": "all",
                "stylers": {
                  "color": "#1a5787"
                }
              },
              {
                "featureType": "label",
                "elementType": "all",
                "stylers": {
                  "visibility": "off"
                }
              }
            ]
          }
        },
        series: [
          {
            name: '人数',
            type: 'scatter',
            coordinateSystem: 'bmap',
            data: convertData(data),
            encode: {
              value: 2
            },
            symbolSize: function (val) {
              return val[2] / 10;
            },
            label: {
              formatter: '{b}',
              position: 'right'
            },
            itemStyle: {
              color: '#ddb926'
            },
            emphasis: {
              label: {
                show: true
              }
            }
          },
          {
            name: 'Top 5',
            type: 'effectScatter',
            coordinateSystem: 'bmap',
            data: convertData(data.sort(function (a, b) {
              return b.value - a.value;
            }).slice(0, 5)),
            encode: {
              value: 2
            },
            symbolSize: function (val) {
              return val[2] / 10;
            },
            showEffectOn: 'emphasis',
            rippleEffect: {
              brushType: 'stroke'
            },
            hoverAnimation: true,
            label: {
              formatter: '{b}',
              position: 'right',
              show: true
            },
            itemStyle: {
              color: '#f4e925',
              shadowBlur: 20,
              shadowColor: '#333'
            },
            zlevel: 1
          },
          {
            type: 'custom',
            coordinateSystem: 'bmap',
            renderItem: renderItem,
            itemStyle: {
              opacity: 0.5
            },
            animation: false,
            silent: true,
            data: [0],
            z: -10
          }
        ]
      };

      option && myChart.setOption(option);

    }
  },
  mounted() {
    this.getCityData()
  }

}
</script>

<style scoped>

</style>